Facial landmark detection in real-time with correlation filtering

Viridiana Contreras, Víctor H. Díaz-Ramírez

Research output: Contribution to conferencePaper

Abstract

© 2016 SPIE. An algorithm for facial landmark detection based on template matched filtering is presented. The algorithm is able to detect and estimate the position of a set of prespecified landmarks by employing a bank of linear filters. Each filter in the bank is trained to detect a single landmark that is located in a small region of the input face image. The filter bank is implemented in parallel on a graphics processing unit to perform facial landmark detection in real-time. Computer simulation results obtained with the proposed algorithm are presented and discussed in terms of detection rate, accuracy of landmark location estimation, and real-time efficiency.
Original languageAmerican English
DOIs
StatePublished - 1 Jan 2016
Externally publishedYes
EventProceedings of SPIE - The International Society for Optical Engineering -
Duration: 1 Jan 2017 → …

Conference

ConferenceProceedings of SPIE - The International Society for Optical Engineering
Period1/01/17 → …

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Contreras, V., & Díaz-Ramírez, V. H. (2016). Facial landmark detection in real-time with correlation filtering. Paper presented at Proceedings of SPIE - The International Society for Optical Engineering, . https://doi.org/10.1117/12.2238098